The presence of molecular markers of in vivo lipid peroxidation in osteoarthritic cartilage: A pathogenic role in osteoarthritis
Bibliographic record
Abstract
OBJECTIVE: To investigate the role of oxidative functions in human osteoarthritic (OA) chondrocytes and to investigate the presence of in vivo molecular markers of lipoxidation in OA cartilage. METHODS: An in vitro model of cartilage collagen degradation was used. Lipid peroxidation activity and overall oxidative function in OA chondrocytes were monitored by cis-parinaric acid and dichlorofluorescein assays, respectively. In vivo molecular markers of lipoxidation in normal and OA cartilage were studied using immunohistochemistry to detect the presence of malondialdehyde and hydroxynonenal adducts. RESULTS: Human OA chondrocytes showed a robust amount of 3H-proline-labeled collagen degradation upon stimulation with lipopolysaccharide and calcium ionophore A21387, as compared with that in untreated OA chondrocytes. Primary OA chondrocytes showed both spontaneous and inducible levels of lipid peroxidation activity. However, lipid peroxidation activity was already maximally elevated in more than 50% of the OA chondrocyte samples. Overall, spontaneous and inducible oxidative activities were observed in all OA samples. Immunohistochemical analysis of control OA tissue sections that were not treated with monoclonal antibody showed little immunoreactivity. OA cartilage sections treated with monoclonal antibodies showed specific immunoreactivity on the cartilage surface, at sites of OA lesions, at the pericellular matrix, and at intra- and intercellular matrices. Normal cartilage sections showed faint surface reactivity. CONCLUSION: Our observations suggest that human OA chondrocytes demonstrate spontaneous and inducible cell-associated lipoxidative and nonlipoxidative activity. Lipoxidative activity appears to be enhanced in OA chondrocytes. The presence of molecular markers of in vivo lipid peroxidation was demonstrated in OA cartilage, suggesting its role in the pathogenesis of the disease.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".